Kashyap, M.M.: Likeness between Ranganathan's postulations based approach to knowledge classification and entity relationship data modelling approach (2003)
0.01
0.0068012597 = product of:
0.013602519 = sum of:
0.013602519 = product of:
0.027205039 = sum of:
0.027205039 = weight(_text_:r in 2045) [ClassicSimilarity], result of:
0.027205039 = score(doc=2045,freq=2.0), product of:
0.12397416 = queryWeight, product of:
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.037451506 = queryNorm
0.2194412 = fieldWeight in 2045, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.3102584 = idf(docFreq=4387, maxDocs=44218)
0.046875 = fieldNorm(doc=2045)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- This paper describes the Postulations Based Approach to Facet Classification as articulated by S. R. Ranganathan for knowledge classification and for the design of a facet scheme of library classification, and the Entity-Relationship Data Modelling and Analysis Approach set by Peter Pin-Sen Chen; both further modified by other experts. Efforts have been made to show the parallelism between the two approaches. It points out that, both the theoretical approaches are concerned with the organisation of knowledge or information, and apply almost similar theoretical principles, concepts, and techniques for the design and development of a framework for the organisation of knowledge, information, or data, in their respective domains. It states that both the approaches are complementary and supplementary to each other. The paper also argues that Ranganathan's postulations based approach or analytico-synthetic approach to knowledge classification can be applied for developing efficient data retrieval systems in addition to the data analysis and modelling domain.
